Open to opportunities

JANAK PATEL

@janakpatel

GenAI engineer building production LLM, RAG, and multi-agent systems for enterprise automation and self-optimizing AI workflows.

India

Message

What I'm looking for

I’m looking to build production-grade GenAI systems—LLM orchestration, RAG, and autonomous agents—on cloud-native stacks, with strong CI/CD, experimentation, and measurable real-world impact.

I’m a GenAI Engineer with 2+ years of experience building and deploying LLM-powered, RAG, and multi-agent systems for enterprise automation. I specialize in NLP, Generative AI, and autonomous agent frameworks like LangGraph and AGNO to design intelligent, collaborative AI workflows.

In my roles, I’ve built production-grade speech intelligence and conversational analytics solutions using OpenAI Whisper/WhisperX and NVIDIA NeMo, plus OCR-driven invoice extraction, hallucination detection, and enterprise decision-support with multi-agent orchestration. I also focus on LLM orchestration, prompt engineering, and data pipeline automation for scalable information retrieval.

I enjoy turning AI research into self-optimizing systems by combining automation, reasoning, and real-world impact—backed by cloud-native deployments on AWS and Azure using Kubernetes (EKS), and strong CI/CD/containerization practices. I aim to deliver measurable improvements like higher throughput, reduced processing time, and reliable zero-touch releases.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer L1

Current

Prakash Software Solutions Private Limited

May 2025 - Present (1 year 1 month)

Built LLM-powered RAG and multi-agent workflows using LangGraph and AGNO for enterprise decision-support, including hallucination detection and OCR-driven invoice extraction. Improved processing throughput 2× (100 audios: 22 to 11 minutes) and achieved ~90% detection accuracy in image forgery detection using transfer learning and patch-level analysis.

LangGraph Agno N8n LangFlow Selenium NVIDIA NeMo RAG CI CD

Software Engineer

AtliQ Technologies

Dec 2023 - May 2025 (1 year 5 months)

Designed and deployed AI services including a customer complaint intent classifier and a medical NER system using SpaCy and Mistral, delivering end-to-end pipelines from preprocessing to API integration. Containerized and automated model delivery with AWS services and CI/CD, including reducing Docker image size from 10GB to 2GB to speed deployments.

SpaCy Mistral Machine Learning Pipelines AWS EC2 S3 ECS IAM Docker Gitlab CI Jenkins API Integration

Education

Degrees, certifications, and relevant coursework

Parul University

B.Tech, Computer Science

2020 - 2024

Grade: 8.24/10

Activities and societies: Projects: Customer Complaint Intent Classifier; Medical-domain NER using SpaCy and Mistral (LLM); CI/CD and Dockerization for an open-source PHP-Laravel e-commerce project.

B.Tech in Computer Science at Parul University (Sept 2020–March 2024), with coursework including Machine Learning, Data Science, DBMS, and Python; GPA 8.24/10.